While prior methods based on feature map reconstruction exist, these methods either rely on constrained iterative procedures [1]} or large learned attention modules [2]}, [3]}.
Instead, we frame feature map reconstruction as a ridge regression problem, allowing us to rapidly calculate a solution in closed form with only a single learned, soft constraint.
